Author: Nicolas Ragot

Keywords: time series; deep learning; continual learning; digital twins for environment; ground water level prediction Duration: 3 years, starting from September

Profile: PhD in machine learning (computer sciences or applied mathematics)Duration: 18 months, starting from September 2023; another 18 months postdoc is

Keywords: video description, deep learning, convolutional neural network, coreference resolution, knowledge graph, multi-tasking, multimodality Abstract:  The topic of this PhD thesis

Title: “Prediction of weeds growth” Profile: Academic level equivalent to a Master 2 in progress or Engineer in its 5th year, in computer

Keywords Time-varying graphs; Graph Neural Networks; Recurrent Neural Network; Attention mechanism Supervisors and contact Donatello Conte (University of Tours, France) donatello.conte@univ-tours.fr Sébastien

Keywords Deep Learning, Combinatorial optimization, Image segmentation Hosting institution LIFAT EA 6300 (Laboratoire d’Informatique Fondamentale et Appliquée de Tours), RFAI

Keywords.  Computer vision, drone imaging, pattern recognition, semi-supervised deep learning, time series, data fusion, digital agriculture. Context Weeds compete directly with

A Professor position in computer science (MCF 27) is available at the LIFAT for September 2021. The teaching will be